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Table 20 Chi-squared test for outlier detection applied on maintenance study

From: Model-based reuse for crosscutting frameworks: assessing reuse and maintenance effort

Study T. G. X2 p Position Outlier
First C 1 2.350449 0.1252469 lowest 182.751342
2 2.152789 0.1423112 highest 458.576312
M 1 5.788559 0.0161308 highest 1952.875079
2 3.598538 0.05783041 highest 1283.533192
Replication C 1 1.771974 0.183138 highest 1082.486509
2 4.338041 0.03726978 highest 493.115942
M 1 2.422232 0.1196244 highest 837.879299
2 4.87366 0.02726961 lowest 1554.176697
  1. Chi-squared test is a statistical test used to detect outliers. It was employed to detect eight outliers in the maintenance study. These outliers are removed in the last t-test.